Francesco Merolla

1.8k citations
66 papers · 1.3k · h-index 25

Impact in

Papers in

    • DNA Repair Mechanisms 6
    • Ubiquitin and proteasome pathways 6
    • Cancer-related gene regulation 5
    • Cancer-related Molecular Pathways 7
    • PARP inhibition in cancer therapy 5

Francesco Merolla

63 papers receiving 1.3k citations

Peers

Francesco Merolla
Comparison fields: 5 of 100
  • Oncology 486
  • Otorhinolaryngology 77
  • Cancer Research 209
  • Molecular Biology 845
  • Pulmonary and Respiratory Medicine 247
Replace Evgeny Izumchenko with:
Evgeny Izumchenko United States
Yuanzheng Qiu China
Yajun Yi United States
Gian Paolo Tonini Italy
Gabi W. van Pelt Netherlands
Martin Braun Germany
Cheok Soon Lee Australia
Chao‐Nan Qian China
Vassiliki Kotoula Greece
J Gioanni France
Francesco Merolla relative to Evgeny Izumchenko United States Evgeny Izumchenko's profile →
Citations per field
00.5×1.5×
Evgeny Izumchenko · 1×
Citations per year

Countries citing papers authored by Francesco Merolla

Since Specialization
Citations

This map shows the geographic impact of Francesco Merolla's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Francesco Merolla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Francesco Merolla more than expected).

Fields of papers citing papers by Francesco Merolla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francesco Merolla. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Francesco Merolla. The network helps show where Francesco Merolla may publish in the future.

Co-authors

The 25 scholars most cited alongside Francesco Merolla, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Francesco Merolla Line = papers co-authored together Francesco Merolla links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012105
2 201383
3 201562
4 201456
5 201654
6 200554
7 201754
8 200449
9 200548
10 201541
11 201440
12 201238
13 200738
14 201036
15 201232
16 201731
17 202030
18 200730
19 202029
20 201929

About Francesco Merolla

Francesco Merolla is a scholar working on Molecular Biology, Oncology, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 66 papers that have together received 1.3k indexed citations. Recurring topics across this work include AI in cancer detection (13 papers), Radiomics and Machine Learning in Medical Imaging (10 papers), Cancer-related Molecular Pathways (7 papers), DNA Repair Mechanisms (6 papers), Head and Neck Cancer Studies (6 papers), Ubiquitin and proteasome pathways (6 papers), Cancer-related gene regulation (5 papers) and PARP inhibition in cancer therapy (5 papers). The work is most often cited by research in Oncology (486 citations), Otorhinolaryngology (77 citations), Cancer Research (209 citations), Molecular Biology (845 citations) and Pulmonary and Respiratory Medicine (247 citations). Francesco Merolla has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Angela Celetti, Stefania Staibano, Gennaro Ilardi, Massimo Mascolo, Daniela Russo, Aniello Cerrato, Gaetano De Rosa, Francesco Morra, Alfredo Fusco and Silvia Varricchio. Their work appears in journals such as International Journal of Molecular Sciences, Cancers, Oncotarget, International Journal of Cancer and Oncogene.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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